Markos Avlonitis

Orcid: 0000-0002-8575-0358

According to our database1, Markos Avlonitis authored at least 39 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Simulation Study for Evaluating Efficiency of McPhail Traps in Olive Groves.
Proceedings of the Artificial Intelligence Applications and Innovations, 2024

2023
AutoML with Bayesian Optimizations for Big Data Management.
Inf., April, 2023

Consensus Big Data Clustering for Bayesian Mixture Models.
Algorithms, 2023

SAVE-WATER: Increasing cross-border infrastructure's capacity for water management.
Proceedings of the Workshop on Research Projects Track @ RCIS 2023 co-located with RCIS 2023, 2023

An Adaptive, Energy-Efficient DRL-Based and MCMC-Based Caching Strategy for IoT Systems.
Proceedings of the Algorithmic Aspects of Cloud Computing - 8th International Symposium, 2023

2022
An Overview of MCMC Methods: From Theory to Applications.
Proceedings of the Artificial Intelligence Applications and Innovations. AIAI 2022 IFIP WG 12.5 International Workshops, 2022

Maximum Likelihood Estimators on MCMC Sampling Algorithms for Decision Making.
Proceedings of the Artificial Intelligence Applications and Innovations. AIAI 2022 IFIP WG 12.5 International Workshops, 2022

A Hybrid Ensemble Deep Learning Approach for Emotion Classification.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
A 3-in-1 framework for human resources' selection and positioning based on machine learning tools.
Int. J. Data Anal. Tech. Strateg., 2021

2020
Multimedia Content's Brokerage: An Information System Based on LeSiM.
Int. J. E Serv. Mob. Appl., 2020

Designing an e-Business Agricultural Decision Support Company: The Case of Olivenia.
Proceedings of the 9th International Conference on Information and Communication Technologies in Agriculture, 2020

2019
A machine learning approach for asperities' location identification.
Evol. Syst., 2019

Multiple and replicated random walkers analysis for service discovery in fog computing IoT environments.
Ad Hoc Networks, 2019

2018
DIRT: The Dacus Image Recognition Toolkit.
J. Imaging, 2018

Treating stochasticity of olive-fruit fly's outbreaks via machine learning algorithms.
Neurocomputing, 2018

Investigation of Possible Landslide Precursor Activity in a Small-Scale Laboratory Experiment.
Int. J. Appl. Geospat. Res., 2018

LESIM: A Novel Lexical Similarity Measure Technique for Multimedia Information Retrieval.
Proceedings of the 12th Mediterranean Conference on Information Systems, 2018

2017
Microclimates and their Stochastic Effect on Olive Fruit Fly Evolution: Modeling and Simulation.
Proceedings of the 8th International Conference on Information and Communication Technologies in Agriculture, 2017

2016
On the problem of early detection of users interaction outbreaks via stochastic differential models.
Eng. Appl. Artif. Intell., 2016

Environmental Impact on Predicting Olive Fruit Fly Population Using Trap Measurements.
Proceedings of the Artificial Intelligence Applications and Innovations, 2016

Identifying Asperity Patterns Via Machine Learning Algorithms.
Proceedings of the Artificial Intelligence Applications and Innovations, 2016

A Survey on Big Data and Collective Intelligence.
Proceedings of the Algorithmic Aspects of Cloud Computing - Second International Workshop, 2016

2015
Early prediction in collective intelligence on video users' activity.
Inf. Sci., 2015

Geophone networks and environmental studies: Application to landslides.
Proceedings of the 6th International Conference on Information, 2015

Complex networks and simulation strategies: An application to olive fruit fly dispersion.
Proceedings of the 6th International Conference on Information, 2015

The Role of Olive Trees Distribution and Fruit Bearing in Olive Fruit Fly Infestation.
Proceedings of the 7th International Conference on Information and Communication Technologies in Agriculture, 2015

2014
Identifying Important Segments in Videos: A Collective Intelligence Approach.
Int. J. Artif. Intell. Tools, 2014

Video Pulses: User-Based Modeling of Interesting Video Segments.
Adv. Multim., 2014

2013
Toward early warning against Internet worms based on critical-sized networks.
Secur. Commun. Networks, 2013

Mimicking Real Users' Interactions on Web Videos through a Controlled Experiment.
Proceedings of the Engineering Applications of Neural Networks, 2013

2012
Crowdsourcing user interactions within web video through pulse modeling.
Proceedings of the ACM multimedia 2012 workshop on Crowdsourcing for multimedia, 2012

Collective Intelligence in Video User's Activity.
Proceedings of the Artificial Intelligence Applications and Innovations, 2012

2009
Treating scalability and modelling human countermeasures against local preference worms via gradient models.
J. Comput. Virol., 2009

A Stochastic Model Using Self-Organization to Explore the ICT Industry Evolution.
Proceedings of the PCI 2009, 2009

A Novel Stochastic Approach for Modeling Random Scanning Worms.
Proceedings of the PCI 2009, 2009

2008
Frequency-Domain Stochastic Error Concealment for Wireless Audio Applications.
Mob. Networks Appl., 2008

2007
A spatial stochastic model for worm propagation: scale effects.
J. Comput. Virol., 2007

Specific Selection of FFT Amplitudes from Audio Sports and News Broadcasting for Classification Purposes.
J. Graph Algorithms Appl., 2007

Stochastic packet reconstruction for subjectively improved audio delivery over WLANs.
Proceedings of the 3rd International Conference on Mobile Multimedia Communications, 2007


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